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Обычная версия сайта
2025/2026

Методы работы с финансовыми данными

Статус: Маго-лего
Кто читает: Школа финансов
Охват аудитории: для своего кампуса
Язык: русский
Контактные часы: 40

Программа дисциплины

Аннотация

The course is devoted to building queries to unload financial data and writing programs in Python programming language for further processing and hypothesis testing. The unit on databases includes working with the Wind terminal through the MS Excel add-in and offloading financial data from Yahoo Finance, Fred, and the Kenneth French database. Data processing includes cleaning outliers, bringing tables with different financials to a standard format, and constructing benchmarks. Hypothesis testing utilizes standard econometric methods for large data sets and practice-oriented methods that include fundamental indexing and portfolio construction techniques.